Modeling confounding by half-sibling regression
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
We describe a method for removing the effect of confounders to reconstruct a latent quantity of interest. The method, referred to as "half-sibling regression," is inspired by recent work in causal inference using additive noise models. We provide a theoretical justification, discussing both independent and identically distributed as well as time series data, respectively, and illustrate the potential of the method in a challenging astronomy application.
Originalsprog | Engelsk |
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Tidsskrift | Proceedings of the National Academy of Sciences of the United States of America |
Vol/bind | 113 |
Udgave nummer | 27 |
Sider (fra-til) | 7391-7398 |
Antal sider | 8 |
ISSN | 0027-8424 |
DOI | |
Status | Udgivet - 5 jul. 2016 |
Eksternt udgivet | Ja |
ID: 165942011